2 papers
stat.ME2026
Modified Bryson-Frazier Smoothing and Hyperparameter Learning for Temporal Gaussian Process Regression
Tom Colemont, Brecht Evens, Tjonnie G. F. Li +1
One-dimensional Gaussian processes with stationary, integrable kernel functions admit exact or arbitrarily accurate state-space representations, enabling linear-time inference thro…
gr-qc2025
Bayesian Calibration of Gravitational-Wave Detectors Using Null Streams Without Waveform Assumptions
Isaac C. F. Wong, Francesco Cireddu, Milan Wils +4
We introduce a Bayesian null-stream method to constrain calibration errors in closed-geometry gravitational-wave (GW) detector networks. Unlike prior methods requiring electromagne…